Bagging Vs boosting for ML questions, and basic stats like Metropolis Hastings, conjugate priors, linear regression
Quantitative Research Analyst Interview Questions
3,500 quantitative research analyst interview questions shared by candidates
Mostly math and stat questions
Statistics and algorithms; also past experiences
Questions on Dynamic Programming and Probability
internship experience and research work in colledge
how to search in a heap
linear regression, regularization, feature selection
All the questions are trivial. One example would be reversing a string.
Tree pruning in xg boost
For the task of classifying news articles into their subject type (finance, science, politics, etc), what is a current state-of-the-art approach (described in detail)? Describe the latency of this approach. Think of simpler, classical models that can achieve faster throughput while maintaining high accuracy for this task.
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